Lead Manager 2c Software Engineering Data Platform Jobs

The Global Field Readiness team at Asana is building the foundation for how our revenue organization learns, grows, and performs . We are looking for a strategic, detail-oriented leader to own the end-to-end strategy for how frontline sales managers develop their leadership capabilities and how individual contributors chart clear, motivating career paths within Asana's sales organization. This is a high-impact, senior individual contributor role—you won't manage a team, but you will influence hundreds of people across the globe. You'll partner closely with Sales Leadership, HR Business Partners, and Learning & Development to design and deliver programs that are grounded in data, loved by participants, and measurably tied to business outcomes. This role is based in our Chicago offic e with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're i nterviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Program Ownership: Design and own Asana's global sales manager development program—from new manager onboarding through ongoing leadership coaching and cohort-based learning. Career Architecture: Build and maintain a clear, transparent career framework for all sales roles, including leveling rubrics, competency models, and progression criteria. Strategic Collaboration: Partner with Sales Leadership to identify skill gaps, prioritize development needs, and build scalable solutions that work across regions and time zones. Content Innovation: Create and curate content—workshops, e-learning modules, manager guides, and 1:1 toolkits—that drive real behavior change rather than just knowledge transfer. Measurement Strategy: Define leading and lagging indicators for every program you own (from participan

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Finance Manager to lead our Snowflake Investment Program — one of our most strategically important go-to-market initiatives. This program is responsible for allocating product and service investments that accelerate the migration, activation, and growth of workloads on the Snowflake platform. As the financial owner of this program, you'll sit at the intersection of strategy, operations, and analytics — driving the decisions that shape how and where we invest to win. RESPONSIBILITIES: Own the full financial planning and forecasting lifecycle for the Investment Program, including annual budget recommendations, global and theater-level quarterly targets, and ongoing policy governance Partner with Corporate Finance, Sales leadership, and Sales Operations to establish and communicate investment budgets that align with GTM strategy Run day-to-day program operations: manage submission templates, coordinate investment review meetings, document approvals and action items, and ensure global consiste

Supply Operations Quality Manager/ Market Lead Uruguay/ Paraguay — 2 Locations. Apply via Workday.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Group Product Manager to lead the Compliance Agent Experience product team within our EAA organization. This team builds the internal tooling and AI-powered investigation experiences used by Compliance Operations to execute Coinbase's financial crime programs, including AML Transaction Monitoring, KYC, Enhanced Due Diligence, and Sanctions/Screening. You'll own the automation-first roadmap that enables investigators to triage alerts, assess risk, and document decisions faster and more accurately, so humans focus on high-judgment work while the platform handles repeatable tasks at scale. What you'll do: Own the Compliance Agent Experience product area end-to-end, from vision and strategy through execution, covering AML/TMS, KYC, EDD, and Sanctions/Screening investigation surfaces. Drive a multi-year roadmap for AI-assisted, human-in-the-loop investigation workflows that measurably reduce cycle time, improve decision quality, and increase automation adoption. Lead build-vs-buy and vendor strategy for investigation enablement (OSINT, case enrichment, LLM tooling), including evaluations and RFPs in partnership with Compliance, Legal, Security, and Procurement. Partner with Engineering, Data Science/ML, Compliance Program owners, and CX Operations to deliver integrated tooling that reduces context-switching and improves end-to-end investigation throughput.

Manager to lead F&B Department. Address: Titanium Tech Park Survey No 54 55 56 58 PLOT NO 1 Kadugodi Sadaramangala Industrial Estate Old BPL Factory Bidarahalli Bengaluru Karnataka Facility: AIRBUS INDIA - FS B'LORE Qualification: 12th Experience: 5 - 7 years Source: Sodexo India | Job Code: IJP573988

This Engineering Manager will lead the Data Visualizations Explorations team within the Graphing organization, setting product direction, and coaching and developing team members. They will staff and drive projects that build end to end experiences for Datadog’s core users: observability engineers. This includes extending the capabilities of core widgets like Hostmap and Geomap Visualizations and finding innovative ways to leverage existing Datadog data sources. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling data experiences. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work with Product Management and Design to plan and staff projects for the Data Visualization Explorations team Coach and develop engineers at various levels Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more. Proactively anticipate cross-team dependencies and blockers to goals. Identify opportunities to appropriately reuse or customize features across dashboards, notebooks, and product pages. Deeply understand the needs of our customers and other Datadog products we work with. Participate in customer conversations, review product briefs, read feature requests, and coach team members to adopt these practices as well. Define and maintain high standards for operations practices, including bug triage and remediation, incident response, and gathering and analyzing performance telemetry for our widgets. Who You Are: At least 2 years of people management experience in a software engineering or similar setting Strong TypeScript/JavaScript skills, including familiarity with front

About the Team DoorDash is looking for an Engineering Manager to lead our Discovery Experience team, which owns the Homepage - DoorDash’s front door. It’s the first screen millions of consumers see every day, and since every session starts there, it’s the highest-leverage surface in the consumer funnel: a more personalized recommendation, a faster render, or a cleaner layout can move the metrics the whole company watches. The Homepage spans restaurants, grocery, and emerging verticals across iOS, Android, and Web. We’re rebuilding it around LLM-generated recommendations, shifting discovery from static, rules-based feeds to generative, intent-driven experiences that respond to real-time signals in the moment. About the Role You will lead and grow a team of product-focused full stack engineers, owning both the product and technical direction for the discovery surface - deciding where discovery goes next and how it’s built. You’ll set the roadmap and drive execution alongside Product, Design, Data Science, and ML/Recommendation Platform partners, and you’ll own the quality, velocity, and consumer impact your team ships. It’s a role with real ownership and the room to grow both the product and the team behind it. You’re excited about this opportunity because you will… Own the Homepage end to end, the highest-traffic surface at DoorDash and where every consumer session begins Turn Homepage bets into company-level outcomes: real lift in conversion and order rate for millions of consumers Define discovery quality for DoorDash: getting the right store, restaurant, or item in front of the right consumer at the right moment Ship LLM-gen recommendations and intent-aware discovery that route consumers to the right experience across food, grocery, retail, and emerging verticals Partner across Product, Design, Data Science, and ML/Recommendation Platform teams to shape the discovery roadmap and ship the experiences behind it Build an inclusive, high-performing team by coaching en

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

The LPU Software Team is seeking a Technical Program Manager to lead software initiatives across the LPU SDK. In this role, you will partner with engineering and cross-functional teams to define program plans, align priorities, manage dependencies, and drive execution. You will identify risks, remove obstacles, and ensure teams deliver high-quality software on schedule that meet our customers needs. What You'll Be Doing: Build and implement execution plans to ensure we meet the needs of the business Build relationships and work closely with partners across NVIDIA Own all aspects of technical program management – planning, forecasting, documenting, scheduling, running effective meetings, prioritization, dependency management, reporting, and escalations Build and own metrics for measuring program efficiency, collect and analyze data in support of planning and data driven decisions Report on overall program status, providing insights and recommendations to senior management Work with multi-functional matrixed teams - guide teams crafting for sophisticated, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions Serve as liaison between developers and customers, connecting those with and without technical backgrounds. Promote continuous improvement by identifying process enhancement opportunities. What We Need To See: Bachelor’s degree (or equivalent experience) in a related field with proven program management expertise and proficiency in technical and management practices 3+ years program management experience including proven ability managing enterprise software products Demonstrated skill in eng

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers? As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic technology customers, while directly contributing to designs and deep-dive debugging and shaping our product roadmap with customer feedback. What you will be doing: Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts. Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers. Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed. Systematically collect and synthesize customer-specific requirements across your portfolio. Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-sp

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and appli

Coder is looking for an experienced Senior Technical Program Manager to lead and shape our most complex, high-stakes engineering programs. You'll operate with a high degree of autonomy, setting the standard for program execution across the organization and acting as a trusted partner to senior engineering and product leadership. The role sits at the intersection of strategy and execution: you'll own the definition, cross-functional planning, and delivery of initiatives that span multiple teams and systems, and give leadership the visibility they need to steer. What you'll do here Own engineering programs end to end, from definition through delivery and iteration, across teams that don't report to one another Own scope, milestones, timelines, dependencies, and risk, driving trade-offs to a written decision and holding accountability for delivery Work hands-on with engineers and product managers, close enough to the work to influence architectural and interface decisions Serve as the central coordination point across engineering, product, design, security, and go-to-market Run the operating cadence and deliver crisp updates on program health, risks, and trade-offs to technical, executive, and customer stakeholders Improve engineering productivity through better tooling and light-weight process, including AI-native tooling and our own product What we're looking for 7+ years in technical program management, including complex multi-team programs where no single team owned the whole outcome Deep technical intuition—you can read a design doc, ask the question that exposes the unstated assumption, and argue sequencing with a staff engineer A track record of delivering at scale, including ownership of a dated external commitment such as a GA, a launch, or a regulated enterprise deadline Strong organizational influence; you set the agenda with minimal oversight and move teams that don't report to you, without being slowed down by ambiguity or competing priorities Excellent ve

We’re looking for a Senior Product Manager to lead AI Studio, Asana's AI workflow builder, in San Francisco. The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. In this role, you will own an end-to-end AI product that powers millions of workflows, enabling large enterprise organizations to build, govern, and deploy AI at scale across their organizations. You will join a dynamic cross-functional environment working directly with Engineering, Design, Experience Research, Data Science, and Go-To-Market teams to turn system-critical processes into reliable, automated work inside Asana's work graph. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for AI Studio end to end, tying every investment directly to customer impact, business outcomes, and Asana's mission. Drive direct business outcomes for a consumption-based AI product: own reporting, forecasting, and ROI, and define the metrics that connect product usage to revenue on a consumption billing model. Scale AI Studio to reliably support millions of workflows, ensuring the quality, performance, and dependability enterprises require for system-critical processes. Ship automation capabilities that enable enterprise teams to deploy AI across their organizations, ranging from single-team workflows to processes spanning thousands of users. Build for enterprise trust by shaping AI governance, admin contr

We're looking for an Engineering Manager to lead the Agent Context team in NYC. This team owns how Asana's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that determine whether every AI experience at Asana is trustworthy or not. Your mission is to make retrieval comprehensive, reliable, and fast at enterprise scale, positioning Asana as the coordination and memory layer for the agentic enterprise. This is a high-leverage platform role: nearly every AI product at Asana - AI Teammates, chat experiences, agentic workflows depends on the systems this team builds. You will manage a team of senior engineers in New York collaborating daily with partner teams in San Francisco and Warsaw, and work alongside a dedicated Product Manager as your direct counterpart. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. What you'll achieve Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG comprehensiveness across the work graph. Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are made with data, not vibes. Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval improvements compound into cheaper, faster downstream LLM calls. Set and enforce the bar for how other teams at Asana integrate with retrieval: clear ownership of embedding decisions, rollout g

We’re looking for a visionary Product Manager to lead the Agents Experience team in San Francisco. In this role, you will define how humans and AI agents work together inside Asana and make collaborating with agents feel natural, trustworthy, and indispensable. You will join our Product Management team, which drives Asana's product strategy and works cross-functionally across Engineering, Design, Experience Research, Data Science, Sales, Support, and Marketing to deliver impactful solutions that help teams see the larger purpose behind their work. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for the core agent experience that will define the modern Human + Agent workplace. Drive agent adoption by owning how teams discover, activate, and build lasting habits around AI agents, turning successful first experiences into durable, team-wide usage. Partner with design and user research to refine the core interactions for how users create, direct, review, and give feedback to agents in the flow of work. Lead discovery, pilots, and betas with enterprise customers to understand how organizations adopt agents, translating those insights into product strategy. Shape the experiences that let humans confidently delegate work to agents, including transparency, control, and feedback loops that build trust at every step. Define engagement metrics, instrument tracking, and iterate continuously on the product experience. About you 6+ years of product management experience, ideally focused on AI products, collaboration software, or enterprise workflows. Pr